The Data Must Flow: How Model Context Protocols (MCP) Accelerates AI Development

Monday, June 23 from 1pm to 2pm ET

In today's AI landscape, language models are often powerful—but isolated. While they generate impressive results, they typically lack access to the live tools and real-world data sources that teams actually rely on to get work done. Every new integration—whether it's connecting an AI to your CRM, knowledge base, or internal API—requires custom wiring, creating bottlenecks and inconsistency across teams.


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The Model Context Protocol (MCP), introduced by Anthropic, proposes a solution: a standardized, vendor-neutral way for AI systems to discover and invoke tools and resources. Think of it as a kind of USB-C for AI—a consistent plug that allows any MCP-compatible model to interface with any MCP-exposed tool or data source. While still early in adoption, MCP offers the potential to unlock flexible, secure, and reusable integrations, reducing developer overhead and empowering more capable, enterprise-ready AI assistants.

In this session, we'll cover:

  • The problem MCP addresses: Why most AI systems today can't reach the data and tools that matter.
  • What MCP is: A high-level overview of the protocol, it's architecture, and how it works.
  • Core benefits: Standardization, discoverability, security, and future-proofing.
  • How MCP compares to frameworks like LangChain and OpenAI's Agents SDK.
  • Real-world demo: How an AI agent can use MCP to access a weather forecast tool.
  • Adoption outlook: Who's using MCP now, what's still missing, and what to watch for.